Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	10886
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.1 MiB
Average record size in memory	104.0 B

Variable types

Numeric	8
Categorical	5

Warnings

`datetime` has a high cardinality: 10886 distinct values	High cardinality
`temp` is highly correlated with `atemp`	High correlation
`atemp` is highly correlated with `temp`	High correlation
`casual` is highly correlated with `count`	High correlation
`registered` is highly correlated with `count`	High correlation
`count` is highly correlated with `casual` and 1 other fields	High correlation
`temp` is highly correlated with `atemp` and 1 other fields	High correlation
`atemp` is highly correlated with `temp` and 1 other fields	High correlation
`casual` is highly correlated with `temp` and 3 other fields	High correlation
`registered` is highly correlated with `casual` and 1 other fields	High correlation
`count` is highly correlated with `casual` and 1 other fields	High correlation
`temp` is highly correlated with `atemp`	High correlation
`atemp` is highly correlated with `temp`	High correlation
`casual` is highly correlated with `registered` and 1 other fields	High correlation
`registered` is highly correlated with `casual` and 1 other fields	High correlation
`count` is highly correlated with `casual` and 1 other fields	High correlation
`season` is highly correlated with `atemp` and 2 other fields	High correlation
`count` is highly correlated with `casual` and 1 other fields	High correlation
`casual` is highly correlated with `count` and 3 other fields	High correlation
`atemp` is highly correlated with `season` and 3 other fields	High correlation
`Unnamed: 0` is highly correlated with `season` and 2 other fields	High correlation
`temp` is highly correlated with `season` and 3 other fields	High correlation
`registered` is highly correlated with `count` and 1 other fields	High correlation
`Unnamed: 0` is uniformly distributed	Uniform
`datetime` is uniformly distributed	Uniform
`Unnamed: 0` has unique values	Unique
`datetime` has unique values	Unique
`windspeed` has 1313 (12.1%) zeros	Zeros
`casual` has 986 (9.1%) zeros	Zeros

Reproduction

Analysis started	2021-07-05 09:03:04.084590
Analysis finished	2021-07-05 09:03:11.775064
Duration	7.69 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Unnamed: 0
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	10886
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5442.5

Minimum	0
Maximum	10885
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0
5-th percentile	544.25
Q1	2721.25
median	5442.5
Q3	8163.75
95-th percentile	10340.75
Maximum	10885
Range	10885
Interquartile range (IQR)	5442.5

Descriptive statistics

Standard deviation	3142.661849
Coefficient of variation (CV)	0.5774298299
Kurtosis	-1.2
Mean	5442.5
Median Absolute Deviation (MAD)	2721.5
Skewness	0
Sum	59247055
Variance	9876323.5
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2047	1	< 0.1%
3363	1	< 0.1%
7473	1	< 0.1%
5424	1	< 0.1%
9518	1	< 0.1%
3371	1	< 0.1%
1322	1	< 0.1%
7465	1	< 0.1%
5416	1	< 0.1%
9510	1	< 0.1%
Other values (10876)	10876	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
10885	1	< 0.1%
10884	1	< 0.1%
10883	1	< 0.1%
10882	1	< 0.1%
10881	1	< 0.1%
10880	1	< 0.1%
10879	1	< 0.1%
10878	1	< 0.1%
10877	1	< 0.1%
10876	1	< 0.1%

datetime
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	10886
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

2012-06-15 11:00:00	1
2011-05-12 07:00:00	1
2011-08-19 13:00:00	1
2012-09-02 21:00:00	1
2011-04-19 06:00:00	1
Other values (10881)	10881

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	206834
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10886 ?
Unique (%)	100.0%

Sample

1st row	2011-01-01 00:00:00
2nd row	2011-01-01 01:00:00
3rd row	2011-01-01 02:00:00
4th row	2011-01-01 03:00:00
5th row	2011-01-01 04:00:00

Common Values

Value	Count	Frequency (%)
2012-06-15 11:00:00	1	< 0.1%
2011-05-12 07:00:00	1	< 0.1%
2011-08-19 13:00:00	1	< 0.1%
2012-09-02 21:00:00	1	< 0.1%
2011-04-19 06:00:00	1	< 0.1%
2012-01-02 18:00:00	1	< 0.1%
2012-12-18 14:00:00	1	< 0.1%
2011-03-06 02:00:00	1	< 0.1%
2011-03-17 00:00:00	1	< 0.1%
2011-03-09 19:00:00	1	< 0.1%
Other values (10876)	10876	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20:00:00	456	2.1%
17:00:00	456	2.1%
15:00:00	456	2.1%
23:00:00	456	2.1%
12:00:00	456	2.1%
13:00:00	456	2.1%
14:00:00	456	2.1%
18:00:00	456	2.1%
16:00:00	456	2.1%
21:00:00	456	2.1%
Other values (470)	17212	79.1%

Most occurring characters

Value	Count	Frequency (%)
0	75100	36.3%
1	33624	16.3%
2	22493	10.9%
-	21772	10.5%
:	21772	10.5%
	10886	5.3%
3	3393	1.6%
7	2972	1.4%
5	2969	1.4%
6	2969	1.4%
Other values (3)	8884	4.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	152404	73.7%
Dash Punctuation	21772	10.5%
Other Punctuation	21772	10.5%
Space Separator	10886	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	75100	49.3%
1	33624	22.1%
2	22493	14.8%
3	3393	2.2%
7	2972	2.0%
5	2969	1.9%
6	2969	1.9%
9	2969	1.9%
8	2960	1.9%
4	2955	1.9%

Dash Punctuation

Value	Count	Frequency (%)
-	21772	100.0%

Space Separator

Value	Count	Frequency (%)
	10886	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	21772	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	206834	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	75100	36.3%
1	33624	16.3%
2	22493	10.9%
-	21772	10.5%
:	21772	10.5%
	10886	5.3%
3	3393	1.6%
7	2972	1.4%
5	2969	1.4%
6	2969	1.4%
Other values (3)	8884	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	206834	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	75100	36.3%
1	33624	16.3%
2	22493	10.9%
-	21772	10.5%
:	21772	10.5%
	10886	5.3%
3	3393	1.6%
7	2972	1.4%
5	2969	1.4%
6	2969	1.4%
Other values (3)	8884	4.3%

season
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

4	2734
2	2733
3	2733
1	2686

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10886
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
4	2734	25.1%
2	2733	25.1%
3	2733	25.1%
1	2686	24.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	2734	25.1%
3	2733	25.1%
2	2733	25.1%
1	2686	24.7%

Most occurring characters

Value	Count	Frequency (%)
4	2734	25.1%
2	2733	25.1%
3	2733	25.1%
1	2686	24.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10886	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	2734	25.1%
2	2733	25.1%
3	2733	25.1%
1	2686	24.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	10886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	2734	25.1%
2	2733	25.1%
3	2733	25.1%
1	2686	24.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	2734	25.1%
2	2733	25.1%
3	2733	25.1%
1	2686	24.7%

holiday
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

0	10575
1	311

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10886
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

Most occurring characters

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10886	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	10886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	10575	97.1%
1	311	2.9%

workingday
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

1	7412
0	3474

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10886
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

Most occurring characters

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10886	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	10886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7412	68.1%
0	3474	31.9%

weather
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	85.2 KiB

1	7192
2	2834
3	859
4	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	10886
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	10886	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	10886	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10886	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	7192	66.1%
2	2834	26.0%
3	859	7.9%
4	1	< 0.1%

temp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	49
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.23085982

Minimum	0.82
Maximum	41
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0.82
5-th percentile	8.2
Q1	13.94
median	20.5
Q3	26.24
95-th percentile	32.8
Maximum	41
Range	40.18
Interquartile range (IQR)	12.3

Descriptive statistics

Standard deviation	7.791589844
Coefficient of variation (CV)	0.3851338951
Kurtosis	-0.9145302638
Mean	20.23085982
Median Absolute Deviation (MAD)	6.56
Skewness	0.003690844422
Sum	220233.14
Variance	60.7088723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
14.76	467	4.3%
26.24	453	4.2%
28.7	427	3.9%
13.94	413	3.8%
18.86	406	3.7%
22.14	403	3.7%
25.42	403	3.7%
16.4	400	3.7%
22.96	395	3.6%
27.06	394	3.6%
Other values (39)	6725	61.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.82	7	0.1%
1.64	2	< 0.1%
2.46	5	< 0.1%
3.28	11	0.1%
4.1	44	0.4%
4.92	60	0.6%
5.74	107	1.0%
6.56	146	1.3%
7.38	106	1.0%
8.2	229	2.1%

Value	Count	Frequency (%)
41	1	< 0.1%
39.36	6	0.1%
38.54	7	0.1%
37.72	34	0.3%
36.9	46	0.4%
36.08	23	0.2%
35.26	76	0.7%
34.44	80	0.7%
33.62	130	1.2%
32.8	202	1.9%

atemp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	60
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.65508405

Minimum	0.76
Maximum	45.455
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0.76
5-th percentile	9.85
Q1	16.665
median	24.24
Q3	31.06
95-th percentile	36.365
Maximum	45.455
Range	44.695
Interquartile range (IQR)	14.395

Descriptive statistics

Standard deviation	8.474600626
Coefficient of variation (CV)	0.3582570498
Kurtosis	-0.8500756472
Mean	23.65508405
Median Absolute Deviation (MAD)	6.82
Skewness	-0.1025595135
Sum	257509.245
Variance	71.81885578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31.06	671	6.2%
25.76	423	3.9%
22.725	406	3.7%
20.455	400	3.7%
26.515	395	3.6%
16.665	381	3.5%
25	365	3.4%
33.335	364	3.3%
21.21	356	3.3%
30.305	350	3.2%
Other values (50)	6775	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.76	2	< 0.1%
1.515	1	< 0.1%
2.275	7	0.1%
3.03	7	0.1%
3.79	16	0.1%
4.545	11	0.1%
5.305	25	0.2%
6.06	73	0.7%
6.82	63	0.6%
7.575	75	0.7%

Value	Count	Frequency (%)
45.455	1	< 0.1%
44.695	3	< 0.1%
43.94	7	0.1%
43.18	7	0.1%
42.425	24	0.2%
41.665	23	0.2%
40.91	39	0.4%
40.15	45	0.4%
39.395	67	0.6%
38.635	74	0.7%

humidity
Real number (ℝ_≥0)

Distinct	89
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.88645967

Minimum	0
Maximum	100
Zeros	22
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0
5-th percentile	31
Q1	47
median	62
Q3	77
95-th percentile	93
Maximum	100
Range	100
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	19.24503328
Coefficient of variation (CV)	0.3109732465
Kurtosis	-0.7598175375
Mean	61.88645967
Median Absolute Deviation (MAD)	15
Skewness	-0.08633518365
Sum	673696
Variance	370.3713058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88	368	3.4%
94	324	3.0%
83	316	2.9%
87	289	2.7%
70	259	2.4%
65	253	2.3%
46	247	2.3%
66	246	2.3%
77	244	2.2%
49	234	2.1%
Other values (79)	8106	74.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	22	0.2%
8	1	< 0.1%
10	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	2	< 0.1%
15	4	< 0.1%
16	8	0.1%
17	6	0.1%
18	7	0.1%

Value	Count	Frequency (%)
100	148	1.4%
97	1	< 0.1%
96	1	< 0.1%
94	324	3.0%
93	205	1.9%
92	2	< 0.1%
91	1	< 0.1%
90	4	< 0.1%
89	150	1.4%
88	368	3.4%

windspeed
Real number (ℝ_≥0)

ZEROS

Distinct	28
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.79939541

Minimum	0
Maximum	56.9969
Zeros	1313
Zeros (%)	12.1%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7.0015
median	12.998
Q3	16.9979
95-th percentile	27.9993
Maximum	56.9969
Range	56.9969
Interquartile range (IQR)	9.9964

Descriptive statistics

Standard deviation	8.164537327
Coefficient of variation (CV)	0.6378846084
Kurtosis	0.6301328693
Mean	12.79939541
Median Absolute Deviation (MAD)	5.9965
Skewness	0.5887665266
Sum	139334.2184
Variance	66.65966976
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
0	1313	12.1%
8.9981	1120	10.3%
11.0014	1057	9.7%
12.998	1042	9.6%
7.0015	1034	9.5%
15.0013	961	8.8%
6.0032	872	8.0%
16.9979	824	7.6%
19.0012	676	6.2%
19.9995	492	4.5%
Other values (18)	1495	13.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1313	12.1%
6.0032	872	8.0%
7.0015	1034	9.5%
8.9981	1120	10.3%
11.0014	1057	9.7%
12.998	1042	9.6%
15.0013	961	8.8%
16.9979	824	7.6%
19.0012	676	6.2%
19.9995	492	4.5%

Value	Count	Frequency (%)
56.9969	2	< 0.1%
51.9987	1	< 0.1%
50.0021	1	< 0.1%
47.9988	2	< 0.1%
46.0022	3	< 0.1%
43.9989	8	0.1%
43.0006	12	0.1%
40.9973	11	0.1%
39.0007	27	0.2%
36.9974	22	0.2%

casual
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	309
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36.0219548

Minimum	0
Maximum	367
Zeros	986
Zeros (%)	9.1%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4
median	17
Q3	49
95-th percentile	141
Maximum	367
Range	367
Interquartile range (IQR)	45

Descriptive statistics

Standard deviation	49.96047657
Coefficient of variation (CV)	1.38694518
Kurtosis	7.551629306
Mean	36.0219548
Median Absolute Deviation (MAD)	15
Skewness	2.495748398
Sum	392135
Variance	2496.049219
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	986	9.1%
1	667	6.1%
2	487	4.5%
3	438	4.0%
4	354	3.3%
5	332	3.0%
6	269	2.5%
7	250	2.3%
8	250	2.3%
9	230	2.1%
Other values (299)	6623	60.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	986	9.1%
1	667	6.1%
2	487	4.5%
3	438	4.0%
4	354	3.3%
5	332	3.0%
6	269	2.5%
7	250	2.3%
8	250	2.3%
9	230	2.1%

Value	Count	Frequency (%)
367	1	< 0.1%
362	1	< 0.1%
361	1	< 0.1%
357	1	< 0.1%
356	1	< 0.1%
355	1	< 0.1%
354	1	< 0.1%
352	1	< 0.1%
350	1	< 0.1%
332	1	< 0.1%

registered
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	731
Distinct (%)	6.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	155.5521771

Minimum	0
Maximum	886
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	36
median	118
Q3	222
95-th percentile	464
Maximum	886
Range	886
Interquartile range (IQR)	186

Descriptive statistics

Standard deviation	151.0390331
Coefficient of variation (CV)	0.9709863011
Kurtosis	2.626081
Mean	155.5521771
Median Absolute Deviation (MAD)	90
Skewness	1.524804587
Sum	1693341
Variance	22812.78951
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	195	1.8%
4	190	1.7%
5	177	1.6%
6	155	1.4%
2	150	1.4%
1	135	1.2%
7	126	1.2%
8	114	1.0%
9	114	1.0%
11	87	0.8%
Other values (721)	9443	86.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	0.1%
1	135	1.2%
2	150	1.4%
3	195	1.8%
4	190	1.7%
5	177	1.6%
6	155	1.4%
7	126	1.2%
8	114	1.0%
9	114	1.0%

Value	Count	Frequency (%)
886	1	< 0.1%
857	2	< 0.1%
839	1	< 0.1%
833	1	< 0.1%
812	2	< 0.1%
811	1	< 0.1%
807	1	< 0.1%
806	1	< 0.1%
803	1	< 0.1%
802	1	< 0.1%

count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	822
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	191.5741319

Minimum	1
Maximum	977
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.2 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	42
median	145
Q3	284
95-th percentile	563.75
Maximum	977
Range	976
Interquartile range (IQR)	242

Descriptive statistics

Standard deviation	181.1444538
Coefficient of variation (CV)	0.9455580042
Kurtosis	1.300092952
Mean	191.5741319
Median Absolute Deviation (MAD)	114
Skewness	1.242066212
Sum	2085476
Variance	32813.31315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	169	1.6%
4	149	1.4%
3	144	1.3%
6	135	1.2%
2	132	1.2%
7	118	1.1%
1	105	1.0%
8	99	0.9%
10	95	0.9%
11	95	0.9%
Other values (812)	9645	88.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	105	1.0%
2	132	1.2%
3	144	1.3%
4	149	1.4%
5	169	1.6%
6	135	1.2%
7	118	1.1%
8	99	0.9%
9	83	0.8%
10	95	0.9%

Value	Count	Frequency (%)
977	1	< 0.1%
970	1	< 0.1%
968	1	< 0.1%
948	1	< 0.1%
943	1	< 0.1%
925	1	< 0.1%
917	1	< 0.1%
901	1	< 0.1%
900	1	< 0.1%
897	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Unnamed: 0	datetime	season	weather	temp	atemp	humidity	windspeed	casual	registered	count
0	0	2011-01-01 00:00:00	1	1	9.84	14.395	81	0.0000	3	13	16
1	1	2011-01-01 01:00:00	1	1	9.02	13.635	80	0.0000	8	32	40
2	2	2011-01-01 02:00:00	1	1	9.02	13.635	80	0.0000	5	27	32
3	3	2011-01-01 03:00:00	1	1	9.84	14.395	75	0.0000	3	10	13
4	4	2011-01-01 04:00:00	1	1	9.84	14.395	75	0.0000	0	1	1
5	5	2011-01-01 05:00:00	1	2	9.84	12.880	75	6.0032	0	1	1
6	6	2011-01-01 06:00:00	1	1	9.02	13.635	80	0.0000	2	0	2
7	7	2011-01-01 07:00:00	1	1	8.20	12.880	86	0.0000	1	2	3
8	8	2011-01-01 08:00:00	1	1	9.84	14.395	75	0.0000	1	7	8
9	9	2011-01-01 09:00:00	1	1	13.12	17.425	76	0.0000	8	6	14

Last rows

	Unnamed: 0	datetime	season	workingday	weather	temp	atemp	humidity	windspeed	casual	registered	count
10876	10876	2012-12-19 14:00:00	4	1	1	17.22	21.210	50	12.9980	33	185	218
10877	10877	2012-12-19 15:00:00	4	1	1	17.22	21.210	50	19.0012	28	209	237
10878	10878	2012-12-19 16:00:00	4	1	1	17.22	21.210	50	23.9994	37	297	334
10879	10879	2012-12-19 17:00:00	4	1	1	16.40	20.455	50	26.0027	26	536	562
10880	10880	2012-12-19 18:00:00	4	1	1	15.58	19.695	50	23.9994	23	546	569
10881	10881	2012-12-19 19:00:00	4	1	1	15.58	19.695	50	26.0027	7	329	336
10882	10882	2012-12-19 20:00:00	4	1	1	14.76	17.425	57	15.0013	10	231	241
10883	10883	2012-12-19 21:00:00	4	1	1	13.94	15.910	61	15.0013	4	164	168
10884	10884	2012-12-19 22:00:00	4	1	1	13.94	17.425	61	6.0032	12	117	129
10885	10885	2012-12-19 23:00:00	4	1	1	13.12	16.665	66	8.9981	4	84	88

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows